SauersML/neural-pairing

Python

2 contributors

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Momentum

How fast SauersML/neural-pairing is gaining stars, and where it lands on Trendshift and GitHub Trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Oct 28 – Nov 9, 2026

Stars +70 in 13 days

Forks +9 in 13 days

Merged PRs 0 in 13 days

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Oct 28Oct 30Nov 1Nov 3Nov 5Nov 7Nov 9

Stars, forks, merged pull requests and Trendshift Trending rank, by day
Day	Stars gained	Forks gained
Wed, Oct 28, 2026	+0	+0
Thu, Oct 29, 2026	+19	+1
Fri, Oct 30, 2026	+18	+3
Sat, Oct 31, 2026	+16	+1
Sun, Nov 1, 2026	+4	+0
Mon, Nov 2, 2026	+7	+1
Tue, Nov 3, 2026	+1	+0
Wed, Nov 4, 2026	+3	+2
Thu, Nov 5, 2026	+1	+0
Fri, Nov 6, 2026	+1	+1
Sat, Nov 7, 2026	+0	+0
Sun, Nov 8, 2026	+0	+0
Mon, Nov 9, 2026	+0	+0
Total	+70	+9

Recent discussions about this repository across the web

Nov 91 post
- two models can pass a word without saying it. sauers’ trained hidden-state link joined qwen3-4b and afm-4.5b. in 40 held-out word-game trials, the receiver wrote the word 40/40 times linked, 0/40…
  Read full on X, posted by @preprintpigeon
  @preprintpigeon · x.com
11 days earlier
Oct 291 post
- Qwen3-4B and Arcee AFM-4.5B have been trained as "neural twins", exchanging activation vectors eight times per token. Each model feeds layer outputs into the other's residual stream.
  Read full on X, posted by @shariqriazzz
  @shariqriazzz · x.com

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